Antenna Season Report Notebook¶

Josh Dillon, Last Revised January 2022

This notebook examines an individual antenna's performance over a whole season. This notebook parses information from each nightly rtp_summarynotebook (as saved to .csvs) and builds a table describing antenna performance. It also reproduces per-antenna plots from each auto_metrics notebook pertinent to the specific antenna.

In [1]:
import os
from IPython.display import display, HTML
display(HTML("<style>.container { width:100% !important; }</style>"))
In [2]:
# If you want to run this notebook locally, copy the output of the next cell into the next line of this cell.
# antenna = "004"
# csv_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/_rtp_summary_'
# auto_metrics_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/auto_metrics_inspect'
# os.environ["ANTENNA"] = antenna
# os.environ["CSV_FOLDER"] = csv_folder
# os.environ["AUTO_METRICS_FOLDER"] = auto_metrics_folder
In [3]:
# Use environment variables to figure out path to the csvs and auto_metrics
antenna = str(int(os.environ["ANTENNA"]))
csv_folder = os.environ["CSV_FOLDER"]
auto_metrics_folder = os.environ["AUTO_METRICS_FOLDER"]
print(f'antenna = "{antenna}"')
print(f'csv_folder = "{csv_folder}"')
print(f'auto_metrics_folder = "{auto_metrics_folder}"')

antenna = "182"
csv_folder = "/home/obs/src/H6C_Notebooks/_rtp_summary_"
auto_metrics_folder = "/home/obs/src/H6C_Notebooks/auto_metrics_inspect"
In [4]:
display(HTML(f'<h1 style=font-size:50px><u>Antenna {antenna} Report</u><p></p></h1>'))

Antenna 182 Report

In [5]:
import numpy as np
import pandas as pd
pd.set_option('display.max_rows', 1000)
import glob
import re
from hera_notebook_templates.utils import status_colors, Antenna
In [6]:
# load csvs and auto_metrics htmls in reverse chronological order
csvs = sorted(glob.glob(os.path.join(csv_folder, 'rtp_summary_table*.csv')))[::-1]
print(f'Found {len(csvs)} csvs in {csv_folder}')
auto_metric_htmls = sorted(glob.glob(auto_metrics_folder + '/auto_metrics_inspect_*.html'))[::-1]
print(f'Found {len(auto_metric_htmls)} auto_metrics notebooks in {auto_metrics_folder}')

Found 34 csvs in /home/obs/src/H6C_Notebooks/_rtp_summary_
Found 32 auto_metrics notebooks in /home/obs/src/H6C_Notebooks/auto_metrics_inspect
In [7]:
# Per-season options
mean_round_modz_cut = 4
dead_cut = 0.4
crossed_cut = 0.0

def jd_to_summary_url(jd):
    return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H6C_Notebooks/blob/main/_rtp_summary_/rtp_summary_{jd}.html'

def jd_to_auto_metrics_url(jd):
    return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H6C_Notebooks/blob/main/auto_metrics_inspect/auto_metrics_inspect_{jd}.html'

Load relevant info from summary CSVs¶

In [8]:
this_antenna = None
jds = []

# parse information about antennas and nodes
for csv in csvs:
    df = pd.read_csv(csv)
    for n in range(len(df)):
        # Add this day to the antenna
        row = df.loc[n]
        if isinstance(row['Ant'], str) and '<a href' in row['Ant']:
            antnum = int(row['Ant'].split('</a>')[0].split('>')[-1]) # it's a link, extract antnum
        else:
            antnum = int(row['Ant'])
        if antnum != int(antenna):
            continue
        
        if np.issubdtype(type(row['Node']), np.integer):
            row['Node'] = str(row['Node'])
        if type(row['Node']) == str and row['Node'].isnumeric():
            row['Node'] = 'N' + ('0' if len(row['Node']) == 1 else '') + row['Node']
            
        if this_antenna is None:
            this_antenna = Antenna(row['Ant'], row['Node'])
        jd = [int(s) for s in re.split('_|\.', csv) if s.isdigit()][-1]
        jds.append(jd)
        this_antenna.add_day(jd, row)
        break
In [9]:
# build dataframe
to_show = {'JDs': [f'<a href="{jd_to_summary_url(jd)}" target="_blank">{jd}</a>' for jd in jds]}
to_show['A Priori Status'] = [this_antenna.statuses[jd] for jd in jds]

df = pd.DataFrame(to_show)

# create bar chart columns for flagging percentages:
bar_cols = {}
bar_cols['Auto Metrics Flags'] = [this_antenna.auto_flags[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jee)'] = [this_antenna.dead_flags_Jee[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jnn)'] = [this_antenna.dead_flags_Jnn[jd] for jd in jds]
bar_cols['Crossed Fraction in Ant Metrics'] = [this_antenna.crossed_flags[jd] for jd in jds]
bar_cols['Flag Fraction Before Redcal'] = [this_antenna.flags_before_redcal[jd] for jd in jds]
bar_cols['Flagged By Redcal chi^2 Fraction'] = [this_antenna.redcal_flags[jd] for jd in jds]
for col in bar_cols:
    df[col] = bar_cols[col]

z_score_cols = {}
z_score_cols['ee Shape Modified Z-Score'] = [this_antenna.ee_shape_zs[jd] for jd in jds]
z_score_cols['nn Shape Modified Z-Score'] = [this_antenna.nn_shape_zs[jd] for jd in jds]
z_score_cols['ee Power Modified Z-Score'] = [this_antenna.ee_power_zs[jd] for jd in jds]
z_score_cols['nn Power Modified Z-Score'] = [this_antenna.nn_power_zs[jd] for jd in jds]
z_score_cols['ee Temporal Variability Modified Z-Score'] = [this_antenna.ee_temp_var_zs[jd] for jd in jds]
z_score_cols['nn Temporal Variability Modified Z-Score'] = [this_antenna.nn_temp_var_zs[jd] for jd in jds]
z_score_cols['ee Temporal Discontinuties Modified Z-Score'] = [this_antenna.ee_temp_discon_zs[jd] for jd in jds]
z_score_cols['nn Temporal Discontinuties Modified Z-Score'] = [this_antenna.nn_temp_discon_zs[jd] for jd in jds]
for col in z_score_cols:
    df[col] = z_score_cols[col]

ant_metrics_cols = {}
ant_metrics_cols['Average Dead Ant Metric (Jee)'] = [this_antenna.Jee_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Dead Ant Metric (Jnn)'] = [this_antenna.Jnn_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Crossed Ant Metric'] = [this_antenna.crossed_metrics[jd] for jd in jds]
for col in ant_metrics_cols:
    df[col] = ant_metrics_cols[col]

redcal_cols = {}
redcal_cols['Median chi^2 Per Antenna (Jee)'] = [this_antenna.Jee_chisqs[jd] for jd in jds]
redcal_cols['Median chi^2 Per Antenna (Jnn)'] = [this_antenna.Jnn_chisqs[jd] for jd in jds]   
for col in redcal_cols:
    df[col] = redcal_cols[col]

# style dataframe
table = df.style.hide_index()\
          .applymap(lambda val: f'background-color: {status_colors[val]}' if val in status_colors else '', subset=['A Priori Status']) \
          .background_gradient(cmap='viridis', vmax=mean_round_modz_cut * 3, vmin=0, axis=None, subset=list(z_score_cols.keys())) \
          .background_gradient(cmap='bwr_r', vmin=dead_cut-.25, vmax=dead_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
          .background_gradient(cmap='bwr_r', vmin=crossed_cut-.25, vmax=crossed_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
          .background_gradient(cmap='plasma', vmax=4, vmin=1, axis=None, subset=list(redcal_cols.keys())) \
          .applymap(lambda val: 'font-weight: bold' if val < dead_cut else '', subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
          .applymap(lambda val: 'font-weight: bold' if val < crossed_cut else '', subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
          .applymap(lambda val: 'font-weight: bold' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
          .applymap(lambda val: 'color: red' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
          .bar(subset=list(bar_cols.keys()), vmin=0, vmax=1) \
          .format({col: '{:,.4f}'.format for col in z_score_cols}) \
          .format({col: '{:,.4f}'.format for col in ant_metrics_cols}) \
          .format('{:,.2%}', na_rep='-', subset=list(bar_cols.keys())) \
          .set_table_styles([dict(selector="th",props=[('max-width', f'70pt')])])

Table 1: Per-Night RTP Summary Info For This Atenna¶

This table reproduces each night's row for this antenna from the RTP Summary notebooks. For more info on the columns, see those notebooks, linked in the JD column.

In [10]:
display(HTML(f'<h2>Antenna {antenna}, Node {this_antenna.node}:</h2>'))
HTML(table.render(render_links=True, escape=False))

Antenna 182, Node N13:

Out[10]:
JDs A Priori Status Auto Metrics Flags Dead Fraction in Ant Metrics (Jee) Dead Fraction in Ant Metrics (Jnn) Crossed Fraction in Ant Metrics Flag Fraction Before Redcal Flagged By Redcal chi^2 Fraction ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score Average Dead Ant Metric (Jee) Average Dead Ant Metric (Jnn) Average Crossed Ant Metric Median chi^2 Per Antenna (Jee) Median chi^2 Per Antenna (Jnn)
2459849 RF_maintenance 100.00% 0.00% 100.00% 0.00% 100.00% 0.00% 3.855383 16.829936 37.831189 48.129627 1.498572 12.803980 -2.711034 6.522558 0.7601 0.0680 0.5303 4.322743 1.365803
2459848 RF_maintenance 100.00% 0.00% 100.00% 0.00% 100.00% 0.00% 3.889377 14.998078 27.484441 31.305886 4.939860 21.737770 -2.529562 4.193983 0.7402 0.0612 0.5305 3.258824 1.306613
2459847 RF_maintenance 100.00% 0.00% 100.00% 0.00% 100.00% 0.00% 3.286780 17.393825 26.151865 29.496350 7.778157 28.421879 -1.048543 1.446354 0.7453 0.0430 0.5632 3.405763 1.343730
2459845 RF_maintenance 100.00% 0.00% 100.00% 0.00% 100.00% 0.00% 6.067371 19.961318 36.028998 41.047376 3.632353 16.470240 -1.321810 2.019811 0.7296 0.0655 0.5879 7.814439 1.240979
2459844 RF_maintenance 100.00% 0.00% 100.00% 0.00% - - 41.298317 14.889959 171.537879 6.655057 91.163273 4.623611 -2.445624 12.817141 0.8781 0.0366 0.4407 nan nan
2459843 RF_maintenance 100.00% 0.00% 100.00% 0.00% 100.00% 0.00% 6.396738 19.941698 16.479589 20.305090 69.240909 71.007687 -2.747641 2.601149 0.7460 0.0546 0.5864 5.437756 1.514515
2459842 RF_maintenance 100.00% 0.00% 100.00% 0.00% 100.00% 0.00% 0.562101 13.669732 -0.885641 9.914313 -2.683787 -0.565022 -1.602318 1.497989 0.7518 0.0508 0.5426 3.722610 1.501294
2459841 RF_maintenance 100.00% 0.00% 100.00% 0.00% - - 39.517404 15.215610 108.411565 4.592166 123.396389 8.225369 0.423623 8.847037 0.6861 0.0344 0.3461 nan nan
2459839 RF_maintenance 100.00% - - - - - -0.483160 -0.335713 -1.234349 -1.200311 3.168218 0.625387 11.535360 7.750606 nan nan nan nan nan
2459838 RF_maintenance 100.00% 0.00% 100.00% 0.00% 100.00% 0.00% 4.246101 20.880372 19.636755 23.549325 7.799046 28.599642 -2.616841 2.304017 0.7620 0.0590 0.4760 5.636552 1.668640
2459836 RF_maintenance - 0.00% 0.00% 0.00% - - nan nan nan nan nan nan nan nan 0.7008 0.5330 0.4543 nan nan
2459835 RF_maintenance 100.00% 0.00% 0.00% 0.00% - - 4.922677 4.954974 11.826375 0.705760 13.980431 69.797707 -6.498965 72.737726 0.7819 0.4422 0.6059 nan nan
2459833 RF_maintenance 100.00% 0.00% 34.95% 0.00% - - 15.780982 16.255146 51.038025 7.294666 113.751834 256.239672 -0.754341 146.009039 0.7942 0.4085 0.6157 nan nan
2459832 RF_maintenance 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 11.108815 8.303147 16.172813 14.614133 8.018944 0.176445 -1.288315 21.452844 0.8043 0.4709 0.6045 3.167879 2.388502
2459831 RF_maintenance 100.00% 100.00% 100.00% 0.00% - - -0.174527 -0.315835 -1.036342 -1.123362 3.367159 2.358612 6.690637 5.906790 0.0288 0.0265 0.0014 nan nan
2459830 RF_maintenance 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 12.656442 7.717757 21.461123 21.041305 25.592522 5.401337 -3.810343 40.986779 0.8002 0.4837 0.5842 5.101394 3.428949
2459829 RF_maintenance 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 9.732104 11.121478 21.218625 19.006246 16.754160 6.986638 -5.444980 62.718553 0.7614 0.5912 0.4556 8.696794 6.049350
2459828 RF_maintenance 100.00% 0.00% 38.17% 0.00% 100.00% 0.00% 11.438031 5.858220 16.299139 17.982697 25.060113 125.565569 -3.737757 219.170447 0.7944 0.4114 0.5683 0.000000 0.000000
2459827 RF_maintenance 100.00% 0.00% 22.02% 0.00% 100.00% 0.00% 8.050530 7.483698 26.739471 17.042145 14.881995 118.801985 -1.551207 1.147623 0.7656 0.5962 0.4449 0.000000 0.000000
2459826 RF_maintenance 100.00% 0.00% 86.56% 0.00% 100.00% 0.00% 11.438567 18.412693 22.020084 36.067249 33.308063 33.218514 -1.718336 11.530607 0.7913 0.3350 0.5735 0.000000 0.000000
2459825 RF_maintenance 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 11.996922 2.553797 16.956193 7.642397 18.667460 3.760572 -0.877808 4.617942 0.7917 0.5874 0.5291 7.738032 6.047356
2459824 RF_maintenance 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 5.784974 1.666256 23.274730 7.098508 4.125275 7.511980 -2.327407 36.311558 0.7395 0.7349 0.3760 8.326854 9.652617
2459823 RF_maintenance 100.00% 0.00% 100.00% 0.00% 100.00% 0.00% 15.421866 26.135180 18.755413 47.253742 24.220842 33.503137 10.591726 30.632902 0.7690 0.1316 0.4834 53.462581 5.233170
2459822 RF_maintenance 100.00% 0.00% 94.62% 0.00% 100.00% 0.00% 13.963081 27.434809 20.554135 43.474758 21.769330 27.984314 -0.644091 0.967505 0.7914 0.1717 0.5521 5.352238 1.854803
2459821 RF_maintenance 100.00% 0.00% 26.88% 0.00% 100.00% 0.00% 15.752882 6.965426 20.320151 5.563514 18.180795 134.855845 -1.699521 5.069013 0.7796 0.4693 0.5396 5.166188 3.515158
2459820 RF_maintenance 100.00% 0.00% 44.15% 0.00% 100.00% 0.00% 9.829794 15.556082 24.174927 31.286431 43.189761 19.395903 -2.730088 40.627750 0.7732 0.4036 0.5044 5.127231 2.729458
2459817 RF_maintenance 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 15.682966 3.189414 16.826495 22.675547 25.854713 81.386069 -0.379603 12.062639 0.7847 0.6080 0.5161 3.404875 2.659579
2459816 RF_maintenance 100.00% 0.00% 88.21% 0.00% 100.00% 0.00% 10.207241 19.580018 24.404789 42.743077 33.911830 39.422087 -4.549940 8.226924 0.8371 0.2311 0.6551 3.798290 1.652686
2459815 RF_maintenance 100.00% 0.00% 65.05% 0.00% 100.00% 0.00% 14.701544 21.257362 19.086652 45.458950 33.629448 39.355068 2.277924 10.472590 0.7790 0.3516 0.5753 4.090111 1.742145
2459814 RF_maintenance 0.00% - - - - - nan nan nan nan nan nan nan nan nan nan nan nan nan
2459813 RF_maintenance 100.00% 100.00% 100.00% 0.00% 100.00% 0.00% nan nan inf inf nan nan nan nan nan nan nan 0.000000 0.000000

Load antenna metric spectra and waterfalls from auto_metrics notebooks.¶

In [11]:
htmls_to_display = []
for am_html in auto_metric_htmls:
    html_to_display = ''
    # read html into a list of lines
    with open(am_html) as f:
        lines = f.readlines()
    
    # find section with this antenna's metric plots and add to html_to_display
    jd = [int(s) for s in re.split('_|\.', am_html) if s.isdigit()][-1]
    try:
        section_start_line = lines.index(f'<h2>Antenna {antenna}: {jd}</h2>\n')
    except ValueError:
        continue
    html_to_display += lines[section_start_line].replace(str(jd), f'<a href="{jd_to_auto_metrics_url(jd)}" target="_blank">{jd}</a>')
    for line in lines[section_start_line + 1:]:
        html_to_display += line
        if '<hr' in line:
            htmls_to_display.append(html_to_display)
            break

Figure 1: Antenna autocorrelation metric spectra and waterfalls.¶

These figures are reproduced from auto_metrics notebooks. For more info on the specific plots and metrics, see those notebooks (linked at the JD). The most recent 100 days (at most) are shown.

In [12]:
for i, html_to_display in enumerate(htmls_to_display):
    if i == 100:
        break
    display(HTML(html_to_display))

Antenna 182: 2459849

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
182 N13 RF_maintenance nn Power 48.129627 3.855383 16.829936 37.831189 48.129627 1.498572 12.803980 -2.711034 6.522558

Antenna 182: 2459848

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
182 N13 RF_maintenance nn Power 31.305886 14.998078 3.889377 31.305886 27.484441 21.737770 4.939860 4.193983 -2.529562

Antenna 182: 2459847

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
182 N13 RF_maintenance nn Power 29.496350 17.393825 3.286780 29.496350 26.151865 28.421879 7.778157 1.446354 -1.048543

Antenna 182: 2459845

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
182 N13 RF_maintenance nn Power 41.047376 19.961318 6.067371 41.047376 36.028998 16.470240 3.632353 2.019811 -1.321810

Antenna 182: 2459844

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
182 N13 RF_maintenance ee Power 171.537879 41.298317 14.889959 171.537879 6.655057 91.163273 4.623611 -2.445624 12.817141

Antenna 182: 2459843

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
182 N13 RF_maintenance nn Temporal Variability 71.007687 19.941698 6.396738 20.305090 16.479589 71.007687 69.240909 2.601149 -2.747641

Antenna 182: 2459842

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
182 N13 RF_maintenance nn Shape 13.669732 0.562101 13.669732 -0.885641 9.914313 -2.683787 -0.565022 -1.602318 1.497989

Antenna 182: 2459841

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
182 N13 RF_maintenance ee Temporal Variability 123.396389 39.517404 15.215610 108.411565 4.592166 123.396389 8.225369 0.423623 8.847037

Antenna 182: 2459839

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
182 N13 RF_maintenance ee Temporal Discontinuties 11.535360 -0.335713 -0.483160 -1.200311 -1.234349 0.625387 3.168218 7.750606 11.535360

Antenna 182: 2459838

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
182 N13 RF_maintenance nn Temporal Variability 28.599642 20.880372 4.246101 23.549325 19.636755 28.599642 7.799046 2.304017 -2.616841

Antenna 182: 2459835

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
182 N13 RF_maintenance nn Temporal Discontinuties 72.737726 4.954974 4.922677 0.705760 11.826375 69.797707 13.980431 72.737726 -6.498965

Antenna 182: 2459833

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
182 N13 RF_maintenance nn Temporal Variability 256.239672 16.255146 15.780982 7.294666 51.038025 256.239672 113.751834 146.009039 -0.754341

Antenna 182: 2459832

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
182 N13 RF_maintenance nn Temporal Discontinuties 21.452844 11.108815 8.303147 16.172813 14.614133 8.018944 0.176445 -1.288315 21.452844

Antenna 182: 2459831

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
182 N13 RF_maintenance ee Temporal Discontinuties 6.690637 -0.174527 -0.315835 -1.036342 -1.123362 3.367159 2.358612 6.690637 5.906790

Antenna 182: 2459830

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
182 N13 RF_maintenance nn Temporal Discontinuties 40.986779 12.656442 7.717757 21.461123 21.041305 25.592522 5.401337 -3.810343 40.986779

Antenna 182: 2459829

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
182 N13 RF_maintenance nn Temporal Discontinuties 62.718553 11.121478 9.732104 19.006246 21.218625 6.986638 16.754160 62.718553 -5.444980

Antenna 182: 2459828

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
182 N13 RF_maintenance nn Temporal Discontinuties 219.170447 5.858220 11.438031 17.982697 16.299139 125.565569 25.060113 219.170447 -3.737757

Antenna 182: 2459827

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
182 N13 RF_maintenance nn Temporal Variability 118.801985 8.050530 7.483698 26.739471 17.042145 14.881995 118.801985 -1.551207 1.147623

Antenna 182: 2459826

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
182 N13 RF_maintenance nn Power 36.067249 18.412693 11.438567 36.067249 22.020084 33.218514 33.308063 11.530607 -1.718336

Antenna 182: 2459825

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
182 N13 RF_maintenance ee Temporal Variability 18.667460 2.553797 11.996922 7.642397 16.956193 3.760572 18.667460 4.617942 -0.877808

Antenna 182: 2459824

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
182 N13 RF_maintenance nn Temporal Discontinuties 36.311558 5.784974 1.666256 23.274730 7.098508 4.125275 7.511980 -2.327407 36.311558

Antenna 182: 2459823

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
182 N13 RF_maintenance nn Power 47.253742 26.135180 15.421866 47.253742 18.755413 33.503137 24.220842 30.632902 10.591726

Antenna 182: 2459822

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
182 N13 RF_maintenance nn Power 43.474758 13.963081 27.434809 20.554135 43.474758 21.769330 27.984314 -0.644091 0.967505

Antenna 182: 2459821

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
182 N13 RF_maintenance nn Temporal Variability 134.855845 6.965426 15.752882 5.563514 20.320151 134.855845 18.180795 5.069013 -1.699521

Antenna 182: 2459820

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
182 N13 RF_maintenance ee Temporal Variability 43.189761 9.829794 15.556082 24.174927 31.286431 43.189761 19.395903 -2.730088 40.627750

Antenna 182: 2459817

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
182 N13 RF_maintenance nn Temporal Variability 81.386069 15.682966 3.189414 16.826495 22.675547 25.854713 81.386069 -0.379603 12.062639

Antenna 182: 2459816

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
182 N13 RF_maintenance nn Power 42.743077 19.580018 10.207241 42.743077 24.404789 39.422087 33.911830 8.226924 -4.549940

Antenna 182: 2459815

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
182 N13 RF_maintenance nn Power 45.458950 21.257362 14.701544 45.458950 19.086652 39.355068 33.629448 10.472590 2.277924

Antenna 182: 2459814

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
182 N13 RF_maintenance nn Shape nan nan nan nan nan nan nan nan nan

Antenna 182: 2459813

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
182 N13 RF_maintenance nn Shape nan nan nan inf inf nan nan nan nan
In [ ]: